On-site Support Engineer
Bay AreaData Operations Manager
Bay AreaThis role at Genesis runs end-to-end data collection operations for their robotics platform, managing operator recruitment, shift scheduling, station uptime, quality standards, and reporting. The position requires experience building data collection at scale and managing teams across multiple sites. Located in Bay Area (onsite, non-remote); no salary provided.
Senior Annotation and Data Pipeline Manager
Bay AreaSenior Annotation and Data Pipeline Manager at Genesis, a robotics company. This role owns the data pipeline converting raw robot demonstrations into training-ready datasets, including annotation operations, quality standards, and automation using vision-language models. Requires 4+ years in data/ML pipelines with prior leadership experience, ideally at frontier AI labs. Bay Area onsite (non-remote); no salary provided.
Senior Data and Compute Supply Manager
Bay AreaSenior Data Collection Operator
Bay AreaSenior Quality and Process Manager
Bay AreaSourcer, AI Research & Engineering
ParisRecruiter, AI Research & Engineering
ParisQA Engineer: Nyx Renderer & Genesis World
ParisHead of Robotics
Bay AreaTechnical Recruiter
London · ParisBusiness Development Manager
ParisMember of Technical Staff, Security
Bay AreaMember of Technical Staff, Training (Bay Area)
Bay AreaMember of Technical Staff, Training (Paris, London)
Paris · LondonMember of Technical Staff, Platform (Paris, London)
Paris · LondonThis is a Platform/Infrastructure Engineering role focused on building foundational frameworks and internal tools for expert teams conducting AI research and development. You'll design modular systems, collaborate across teams to validate use cases, and eliminate development friction through better tooling, code quality practices, and workflow improvements. Required skills include strong software engineering in Python, Go, or Rust; proven experience building reusable, maintainable systems; and a track record of collaborating with both engineers and researchers to translate complex requirements into elegant solutions. A standout requirement is direct experience building internal AI/ML tooling—such as debugging tools, experiment tracking, evaluation frameworks, or CI automation—that accelerates research workflows. You should be comfortable driving large-scale organizational improvements with minimal disruption and advocating for engineering best practices through code review and documentation.
Member of Technical Staff, Simulation (Bay Area)
Bay AreaMember of Technical Staff, Simulation (Paris, London)
Paris · LondonRobot Teleoperation Specialist
ParisMember of Technical Staff, Robot Learning (Paris, London)
Paris · London
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